Optimal recursive digital filter design using improved genetic algorithm

Authors:
Morris Abraham Gnanamuthu Ezra;K. Ramar;C. Eswaran
Affiliations:
Faculty of Engineering, Multimedia University, Selangor, Malaysia;Faculty of Engineering, Multimedia University, Selangor, Malaysia;Faculty of Engineering, Multimedia University, Selangor, Malaysia
Venue:
SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
Year:
2006

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Abstract

In the process of designing digital recursive filters to satisfy a given magnitude response. the designer may end up with an unstable filter. This unstable filter can be stabilized using methods such as Planar Least Sqare Inverse technique, Complex Ceptrum Method etc. The Planar Least Square Inverse technique is supposed to preserve the desired magnitude response which is found to be not true in all cases. Hence a new method of designing recursive filters using the improved genetic optimization algorithm is presented in this paper. The optimally designed filter will be stable and will have a magnitude response almost similar to the desired magnitude response.